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stellarlinkcoRust-based coding agent enabling multi-model, multi-agent collaboration
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Stellarlinkco/codex is a Rust-first coding agent, forked from openai/codex, designed for advanced AI-driven coding workflows. It targets developers, researchers, and power users needing robust multi-model support, multi-agent collaboration, and long-running orchestration. The project aims to provide an open-source alternative with features inspired by Claude Code, enhancing productivity via agent teams and a web interface.
How It Works
This project adopts a Rust-first architecture, extending openai/codex with a focus on sophisticated agent interactions. It implements Claude Code-style workflows, enabling agent teams, custom hooks, and direct Anthropic API integration. A key design choice is the Web UI, served by codex serve, centralizing control. The architecture prioritizes multi-model support for collaboration between different AI models and supports long-running orchestration for complex, continuous tasks.
Quick Start & Requirements
Installation is streamlined via a shell script for macOS, Linux, and WSL (curl -fsSL https://raw.githubusercontent.com/stellarlinkco/codex/main/scripts/install.sh | bash) or PowerShell for Windows (irm https://raw.githubusercontent.com/stellarlinkco/codex/main/scripts/install.ps1 | iex), placing the binary in ~/.local/bin. Linux users require glibc >= 2.35 (e.g., Ubuntu 22.04+). Further details are available in the Docs, Contributing, and Installation & Building guides.
Highlighted Details
openai/codex focusing on advanced agent capabilities.codex serve.Maintenance & Community
The project acknowledges sponsorship from PackyCode, an API relay service provider, offering a discount to users. Community engagement is encouraged via the Contributing guide.
Licensing & Compatibility
The repository is licensed under the AGPL-3.0 License. This strong copyleft license mandates that derivative works must also be distributed under AGPL-3.0, potentially posing compatibility challenges for integration into closed-source commercial products.
Limitations & Caveats
As a fork integrating complex features like multi-agent collaboration and long-running orchestration, the project may still be under active development. Specific limitations, known bugs, or performance caveats are not detailed in the provided README snippet.
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